{"id":"W7061861243","doi":"","title":"Role of artificial intelligence on small and medium-sized enterprises (SMES) management in southwest, Nigeria","year":2024,"lang":"en","type":"article","venue":"Teesside University Research Portal (Teesside University)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Bridge (graph theory); Incentive; Organizational culture; Data collection; Data security; Small and medium-sized enterprises","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006791956,0.0001367278,0.0001169691,0.0005360316,0.002060629,0.00150745,0.0001754022,0.0004245635,0.001942873],"category_scores_gemma":[0.001501611,0.00009129433,0.0000846128,0.0004715309,0.0009352717,0.0007584185,0.0007964278,0.0004008397,0.0001276814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120467,"about_ca_system_score_gemma":0.002383092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007339209,"about_ca_topic_score_gemma":0.01503292,"domain_scores_codex":[0.9996099,0.0001561009,0.00002373796,0.00002885885,0.00004762274,0.0001337521],"domain_scores_gemma":[0.9977416,0.0007608041,0.0005342881,0.0000182436,0.0001862033,0.0007588755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001830734,0.0006419134,0.7965187,0.0005009287,0.00003159443,0.006899133,0.1208657,0.0002684348,0.003463258,0.006468749,0.00205255,0.062106],"study_design_scores_gemma":[0.00000934629,0.0004886091,0.5705958,0.0005852921,0.00003670439,0.001158161,0.4041514,0.0004959065,0.0008591602,0.001015836,0.02057889,0.0000249436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949067,0.0004677832,0.00004450753,0.001159163,0.00001055215,0.00000605002,0.000005191678,0.000001069115,0.003398904],"genre_scores_gemma":[0.9984167,0.0006136833,0.00004193018,0.00009870509,0.000002901286,0.000003101041,0.00000289478,2.916801e-7,0.000819845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007339209,"threshold_uncertainty_score":0.01459301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282725632169714,"score_gpt":0.2604779697529533,"score_spread":0.2322054065359819,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}